n mix results

N - mixture models by species

modelling N by site to get relative abundance

abundance by site will be used as a cov on predator occupancy

7 models evaluated, dot, jdt + jdtSQ, lure + jdt + jdtSQ

Species:      lagomorph

Metadata Summary:

N_sites	N_counts	N_detections	rep_period	iterations	burnin	thin
127	420	237	7 days	120000	20000	10

Detections by Year:

Yr	2016	2017	2018	2019	2020
sites	19	31	19	32	26
detections	24	47	43	80	43
N.dot.model	8	24	19	34	13

WAIC

Models by WAIC:

model	description	WAIC	N.total.est
fm7	counts	5.683632	127
fm1	dot	1416.159272	98
fm3	lure	1416.862733	97
fm2	jdt	1417.331463	98
fm4	lure + jdt	1418.215634	98
fm5	jdt + jdtSq	1418.950661	98
fm6	lure + jdt + jdtSq	1421.163316	97

Model summaries:

model: fm1

dot

summary table

param	covariate	iters_ef	mean	mode	hdi_89pct_lower	hdi_89pct_upper	bayes_P	pct.density
p[1]	NA	6512	0.128	0.117	0.07	0.18	0	1.001
p[2]	NA	3444	0.078	0.077	0.05	0.11	0	1.001
p[3]	NA	3761	0.053	0.052	0.03	0.07	0	1.001
p[4]	NA	3627	0.072	0.069	0.05	0.09	0	1.001
p[5]	NA	8123	0.103	0.098	0.07	0.13	0	1.001
lambda[1]	NA	8106	0.492	0.403	0.20	0.78	0	1.001
lambda[2]	NA	2972	1.048	0.927	0.52	1.49	0	1.001
lambda[3]	NA	3036	1.293	1.064	0.62	1.92	0	1.001
lambda[4]	NA	3988	1.303	1.203	0.78	1.79	0	1.001
lambda[5]	NA	9527	0.583	0.525	0.31	0.86	0	1.001
N[46]	NA	7311	1.665	1	1.00	3.00	0	1.0002
N[1]	NA	9639	0.042	err	0.00	0.00	err	err
N[43]	NA	7277	0.227	err	0.00	1.00	err	err
N[88]	NA	8048	0.133	err	0.00	1.00	err	err
N[100]	NA	8389	1.058	err	1.00	1.00	err	err

p[1]

p[2]

p[3]

p[4]

p[5]

lambda[1]

lambda[2]

lambda[3]

lambda[4]

lambda[5]

N[46]

N[1]

N[43]

N[88]

N[100]

model: fm2

jdt

summary table

param	covariate	iters_ef	mean	mode	hdi_89pct_lower	hdi_89pct_upper	bayes_P	pct.density
alpha	jdt	9447	0.004	0.006	-0.11	0.12	0.99853	0.5255
alpha0	NA	4272	-2.502	-2.48	-2.69	-2.30	0	1.001
lambda[1]	NA	8319	0.661	0.596	0.29	1.00	0	1.001
lambda[2]	NA	7679	1.014	0.991	0.62	1.39	0	1.001
lambda[3]	NA	8443	0.936	0.857	0.55	1.33	0	1.001
lambda[4]	NA	8044	1.212	1.186	0.82	1.61	0	1.001
lambda[5]	NA	8601	0.680	0.629	0.36	0.98	0	1.001
N[47]	NA	10000	0.133	err	0.00	1.00	err	err
N[89]	NA	10000	0.506	0	0.00	1.00	1	err
N[26]	NA	10000	0.584	0	0.00	2.00	1	err
N[119]	NA	10000	0.200	err	0.00	1.00	err	err
N[65]	NA	10000	0.126	err	0.00	1.00	err	err

alpha

alpha0

lambda[1]

lambda[2]

lambda[3]

lambda[4]

lambda[5]

N[47]

N[89]

N[26]

N[119]

N[65]

alpha relationship

model: fm3

lure

summary table

param	covariate	iters_ef	mean	mode	hdi_89pct_lower	hdi_89pct_upper	bayes_P	pct.density
alpha	lure	10163	-0.029	-0.025	-0.16	0.11	0.92493	0.6364
alpha0	NA	4611	-2.504	-2.506	-2.69	-2.31	0	1.001
lambda[1]	NA	8588	0.656	0.569	0.32	1.03	0	1.001
lambda[2]	NA	8414	1.007	0.97	0.62	1.38	0	1.001
lambda[3]	NA	8415	0.939	0.888	0.54	1.32	0	1.001
lambda[4]	NA	7668	1.210	1.171	0.82	1.60	0	1.001
lambda[5]	NA	8925	0.688	0.599	0.38	1.00	0	1.001
N[104]	NA	9246	3.349	4	2.00	5.00	0	1.001
N[68]	NA	10000	1.173	err	1.00	2.00	err	err
N[102]	NA	10000	0.031	err	0.00	0.00	err	err
N[21]	NA	9827	1.193	err	1.00	2.00	err	err
N[112]	NA	10000	0.040	err	0.00	0.00	err	err

alpha

alpha0

lambda[1]

lambda[2]

lambda[3]

lambda[4]

lambda[5]

N[104]

N[68]

N[102]

N[21]

N[112]

alpha relationship

model: fm4

lure + jdt

summary table

param	covariate	iters_ef	mean	mode	hdi_89pct_lower	hdi_89pct_upper	bayes_P	pct.density
alpha[1]	lureDays	8080	-0.032	-0.033	-0.18	0.12	0.92326	0.637
alpha[2]	julianDt	8130	0.015	0.015	-0.11	0.14	0.9759	0.5804
alpha0	NA	4688	-2.498	-2.496	-2.68	-2.31	0	1.001
lambda[1]	NA	8537	0.646	0.639	0.29	0.98	0	1.001
lambda[2]	NA	8374	1.005	0.972	0.63	1.39	0	1.001
lambda[3]	NA	8943	0.932	0.836	0.52	1.31	0	1.001
lambda[4]	NA	8084	1.201	1.137	0.82	1.60	0	1.001
lambda[5]	NA	8840	0.685	0.64	0.37	0.98	0	1.001
N[104]	NA	9394	3.382	3.002	2.00	5.00	0	1.001
N[45]	NA	9670	1.740	1	1.00	3.00	0	1.0003
N[78]	NA	9719	0.421	0	0.00	1.00	1	err
N[31]	NA	10000	1.115	err	1.00	1.00	err	err
N[5]	NA	8870	1.887	2.003	1.00	3.00	0	1.0005

alpha[1]

alpha[2]

alpha0

lambda[1]

lambda[2]

lambda[3]

lambda[4]

lambda[5]

N[104]

N[45]

N[78]

N[31]

N[5]

model: fm5

jdt + jdtSq

summary table

param	covariate	iters_ef	mean	mode	hdi_89pct_lower	hdi_89pct_upper	bayes_P	pct.density
alpha[1]	julianDt	4014	0.072	0.074	-0.13	0.27	0.89961	0.7143
alpha[2]	julianDtSq	4083	-0.086	-0.097	-0.29	0.12	0.80541	0.7476
alpha0	NA	4564	-2.503	-2.491	-2.69	-2.31	0	1.001
lambda[1]	NA	8953	0.647	0.527	0.28	0.98	0	1.001
lambda[2]	NA	8150	1.028	1.007	0.64	1.41	0	1.001
lambda[3]	NA	9454	0.931	0.825	0.54	1.32	0	1.001
lambda[4]	NA	7430	1.226	1.175	0.82	1.62	0	1.001
lambda[5]	NA	9284	0.678	0.618	0.35	0.96	0	1.001
N[33]	NA	9661	1.436	1	1.00	2.00	0	1.0001
N[21]	NA	10000	1.196	err	1.00	2.00	err	err
N[13]	NA	8931	2.629	3	2.00	4.00	0	1.0009
N[56]	NA	10000	0.046	err	0.00	0.00	err	err
N[104]	NA	8625	3.348	2.998	2.00	5.00	0	1.001

alpha[1]

alpha[2]

alpha0

lambda[1]

lambda[2]

lambda[3]

lambda[4]

lambda[5]

N[33]

N[21]

N[13]

N[56]

N[104]

julian date relationship

model: fm6

lure + jdt + jdtSq

summary table

param	covariate	iters_ef	mean	mode	hdi_89pct_lower	hdi_89pct_upper	bayes_P	pct.density
alpha[1]	lureDays	5545	-0.057	-0.058	-0.21	0.10	0.84323	0.7206
alpha[2]	julianDt	3049	0.108	0.103	-0.12	0.33	0.73248	0.7765
alpha[3]	julianDtSq	3217	-0.111	-0.135	-0.33	0.11	0.74073	0.7896
alpha0	NA	4423	-2.512	-2.489	-2.69	-2.31	0	1.001
lambda[1]	NA	8268	0.624	0.554	0.28	0.95	0	1.001
lambda[2]	NA	8178	1.020	0.954	0.62	1.38	0	1.001
lambda[3]	NA	8695	0.925	0.86	0.53	1.30	0	1.001
lambda[4]	NA	6869	1.228	1.172	0.80	1.61	0	1.001
lambda[5]	NA	8332	0.697	0.617	0.37	1.01	0	1.001
N[10]	NA	9820	0.103	err	0.00	0.00	err	err
N[46]	NA	10000	1.649	1	1.00	3.00	0	1.0002
N[23]	NA	10000	0.354	0	0.00	1.00	1	err
N[31]	NA	8427	1.122	err	1.00	2.00	err	err
N[106]	NA	10000	0.505	0	0.00	1.00	1	err

alpha[1]

alpha[2]

alpha[3]

alpha0

lambda[1]

lambda[2]

lambda[3]

lambda[4]

lambda[5]

N[10]

N[46]

N[23]

N[31]

N[106]

model: fm7

counts

summary table

param	covariate	iters_ef	mean	mode	hdi_89pct_lower	hdi_89pct_upper	bayes_P	pct.density
alpha	counts	8567	9.532	8.991	7.49	11.35	0	1.001
alpha0	NA	9239	-6.475	-6.099	-7.89	-5.06	0	1.001
lambda[1]	NA	9109	0.984	0.858	0.42	1.53	0	1.001
lambda[2]	NA	10000	0.992	0.935	0.60	1.34	0	1.001
lambda[3]	NA	10000	0.994	0.929	0.56	1.44	0	1.001
lambda[4]	NA	10360	0.994	0.937	0.65	1.36	0	1.001
lambda[5]	NA	8870	0.974	0.866	0.47	1.43	0	1.001
N[50]	NA	10000	1.004	err	1.00	1.00	err	err
N[86]	NA	0	1.000	err	1.00	1.00	err	err
N[87]	NA	0	1.000	err	1.00	1.00	err	err
N[124]	NA	10000	0.939	0	0.00	2.00	1	err
N[26]	NA	10881	0.976	0	0.00	2.00	1	err

alpha

alpha0

lambda[1]

lambda[2]

lambda[3]

lambda[4]

lambda[5]

N[50]

N[86]

## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero

## Warning: Removed 50 rows containing missing values (geom_bar).

N[87]

## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero

## Warning: Removed 50 rows containing missing values (geom_bar).

N[124]

N[26]

alpha relationship